{"id":"W4404194628","doi":"10.1017/elr.2024.45","title":"Disentangling the gender-differentiated determinants of home-based self-employment choices in Nigeria","year":2024,"lang":"en","type":"article","venue":"The Economic and Labour Relations Review","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Demographic economics; Labour economics; Business; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273251,0.0002548647,0.0003495025,0.001036456,0.0004122931,0.0008405693,0.0002208855,0.000270999,0.001912086],"category_scores_gemma":[0.001782405,0.0001493153,0.0003446037,0.001365817,0.0003743435,0.000669118,0.0005898511,0.0003620883,0.000116496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445448,"about_ca_system_score_gemma":0.00177349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01350383,"about_ca_topic_score_gemma":0.03926355,"domain_scores_codex":[0.9995981,0.0001903616,0.00003907343,0.00004512524,0.00004575192,0.00008161943],"domain_scores_gemma":[0.999306,0.0003536988,0.0001935353,0.00001552002,0.00007901993,0.00005223576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002168468,0.0001858357,0.7361214,0.004271171,0.0002664094,0.0008438102,0.00916936,0.0004366802,0.0003986088,0.007912057,0.002381791,0.237796],"study_design_scores_gemma":[0.000009997369,0.0001310457,0.9259483,0.009711834,0.0003480048,0.000476095,0.03228277,0.00074117,0.0002167469,0.002191445,0.02792094,0.00002173241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089671,0.1775786,0.0006331782,0.002489435,0.0002957676,0.00003465355,0.0005218582,0.000002824296,0.009476669],"genre_scores_gemma":[0.9479162,0.05064611,0.0002883498,0.0001566918,0.00005617572,0.00002756678,0.0001470925,0.00000177227,0.0007601364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350383,"threshold_uncertainty_score":0.02685046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236102132458099,"score_gpt":0.3107483996989187,"score_spread":0.2783873783743377,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}